NIR and visible image fusion for improving face recognition at long distance

Faten Omri, Sebti Foufou, Mongi Abidi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Face recognition performance achieves high accuracy in close proximity. However, great challenges still exist in recognizing human face at long distance. In fact, the rapidly increasing need for long range surveillance requires a passage from close-up distances to long distances which affects strongly the human face image quality and causes degradation in recognition accuracy. To address this problem, we propose in this paper, a multispectral pixel level fusion approach to improve the performance of automatic face recognition at long distance. The main objective of the proposed approach is to formulate a method to enhance the face image quality as well as the face recognition rate. First, visible and near-infrared images are decomposed into a different bands using discrete wavelet transform. Then, the fusion process is performed through the singular value decomposition and principal component analysis. The results highlight further the still challenging problem of face recognition at long distance, as well as the effectiveness of our proposed approach as an alternative solution to this problem.

Original languageEnglish (US)
Title of host publicationImage and Signal Processing - 6th International Conference, ICISP 2014, Proceedings
PublisherSpringer Verlag
Pages549-557
Number of pages9
ISBN (Print)9783319079974
DOIs
StatePublished - 2014
Event6th International Conference on Image and Signal Processing, ICISP 2014 - Cherbourg, France
Duration: Jun 30 2014Jul 2 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8509 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other6th International Conference on Image and Signal Processing, ICISP 2014
CountryFrance
CityCherbourg
Period6/30/147/2/14

Keywords

  • Face recognition at long distance
  • Multispectral image fusion
  • NIR and visible spectrum

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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